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oFVSD: a Python package of optimized forward variable selection decoder for high-dimensional neuroimaging data
The complexity and high dimensionality of neuroimaging data pose problems for decoding information with machine learning (ML) models because the number of features is often much larger than the number of observations. Feature selection is one of the crucial steps for determining meaningful target fe...
Autores principales: | Dang, Tung, Fermin, Alan S. R., Machizawa, Maro G. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566623/ https://www.ncbi.nlm.nih.gov/pubmed/37829329 http://dx.doi.org/10.3389/fninf.2023.1266713 |
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